Optex Systems Holdings (OPXS) Return on Capital Employed [ROCE] (2011 - 2026)
Optex Systems Holdings (OPXS) reported Return on Capital Employed [ROCE] of 18.43% for fiscal Q2 2026 (quarter ended Mar 29, 2026), down 9.48 percentage points from 27.91% a year earlier but up 0.59 percentage points from the prior quarter.
Optex Systems Holdings (OPXS) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025 (ended Sep 28, 2025), Optex Systems Holdings posted Return on Capital Employed [ROCE] of 30.71%, up 5.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased for four consecutive fiscal years, with a five-year change of +10.11 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Capital Employed [ROCE] came in at 25.48% in FY2024 (+8.39 pp), 17.10% in FY2023 (+7.01 pp), 10.09% in FY2022 (+12.74 pp) and -2.66% in FY2021 (-23.26 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -3.00% in fiscal Q1 2022 and a high of 27.91% in fiscal Q2 2025.
- Year over year, Return on Capital Employed [ROCE] gained in four of the last six quarters, with an average year-over-year change of +2.07 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q2 2023 (a gain of 15.32 percentage points); the low point was fiscal Q4 2021 (a drop of 21.45 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 345.36 Bn | 303.88 Bn | 5.02 Bn | -19.49% |
| 2 | Rtx | 264.61 Bn | 232.88 Bn | 5.81 Bn | 10.08% |
| 3 | Boeing | 139.09 Bn | 48.05 Bn | 2.17 Bn | 17.91% |
| 4 | Lockheed Martin | 135.47 Bn | 119.70 Bn | 2.44 Bn | 23.92% |
| 5 | General Dynamics | 97.79 Bn | 83.03 Bn | 2.25 Bn | 14.17% |
| 6 | Motorola Solutions | 86.63 Bn | 83.10 Bn | 1.77 Bn | 21.71% |
| 7 | Howmet Aerospace | 86.24 Bn | 81.99 Bn | 1.00 Bn | 24.70% |
| 8 | Northrop Grumman | 77.00 Bn | 64.45 Bn | 2.35 Bn | 12.21% |
| 9 | Honeywell International | 72.38 Bn | 31.89 Bn | 2.02 Bn | -7.52% |
| 10 | Optex Systems Holdings | 59.36 Mn | 40.02 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 18.43% |
| Dec 28, 2025 | 17.84% |
| Mar 30, 2025 | 27.91% |
| Dec 29, 2024 | 23.87% |
| Sep 29, 2024 | 23.82% |
| Jun 30, 2024 | 27.37% |
| Mar 31, 2024 | 23.75% |
| Dec 31, 2023 | 20.75% |
| Oct 1, 2023 | 15.91% |
| Jul 2, 2023 | 14.65% |
| Apr 2, 2023 | 13.51% |
| Jan 1, 2023 | 9.35% |
| Oct 2, 2022 | 9.95% |
| Jul 3, 2022 | 0.64% |
| Apr 3, 2022 | -1.81% |
| Jan 2, 2022 | -3.00% |
| Oct 3, 2021 | -2.59% |
| Jun 27, 2021 | 2.61% |
| Mar 28, 2021 | 6.20% |
| Dec 27, 2020 | 13.74% |
Optex Systems Holdings Return on Capital Employed [ROCE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=OPXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "OPXS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=OPXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();